SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

ANALYSIS OF THE LOCAL ENVIRONMENTAL CONDITIONS OF LEGUMES USING GLOBAL DATASETS

Dr. Brus Jan, Tomas Burian, assoc. prof. Vilem Pechanec, Dr. Petr Smykal, Dr. Martin Duchoslav

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s08.101View metrics

Abstract

The recent development of remote sensing technologies and rapidly accumulating environmental data derived from geographic information systems (GIS) now provide information on the patterns of terrestrial environmental variation at global and continental scales. Moreover, the past decades, an extraordinary amount of work has been undertaken to map species distributions and use the collected information to identify suitable habitats. Remote sensing metrics have become an integral part of SDM studies and contribute the significant amount of spatially explicit data for distribution models given recent development in remote sensing technologies and products. Environmental data relevant for ecophysiology and spatial distribution modelling of legumes includes ecologically important environmental factors. Several geospatial global datasets representing topography, eco-climatological and pedological properties were studied with the main aim to obtain local conditions and to have unified spatial resolution of all environmental factors. Datasets were pre-processed per their key features. Finally, a model for automatic obtaining the data for SDM was developed. Paper presents outcomes of the study, testing and brings comparable metrics between obtained datasets for legume occurrence data.

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 5
PLUMX see details

Publication details

Title
ANALYSIS OF THE LOCAL ENVIRONMENTAL CONDITIONS OF LEGUMES USING GLOBAL DATASETS
Authors
Dr. Brus Jan, Tomas Burian, assoc. prof. Vilem Pechanec, Dr. Petr Smykal, Dr. Martin Duchoslav
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
791-798
SWS Citekey
Brus20178791798
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
DEMglobal geospatial datasetsSDMlegumesspatial quality
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list